Faceter is the first decentralized surveillance system for consumers. Faceter makes video surveillance smart, giving brains to cameras through enhanced face detection, object detection and real-time video analysis. These features allow cameras to understand the situation and respond to it, offering much better security to all the customers. Usual computer vision technologies are expensive to develop and require the additional expense of requiring substantial computing resources to run. Only a few very expensive B2B solutions have computer vision and video content analysis implemented as a part of their technology stack. As a consequence, their technologies are still very early-stage compared to the possibilities offered by the vast potential of neural networks. At Faceter’s technological core is the absolute respect for privacy, and the utilization of the features of convolutional neural networks to split the tasks reinforces this commitment. As a result, sensitive data is always processed in a completely trusted environment, and all images not subject to recovery are passed to the decentralized network.
